{"pageNumber":"1420","pageRowStart":"35475","pageSize":"25","recordCount":165227,"records":[{"id":70093728,"text":"70093728 - 2013 - Phenology-based, remote sensing of post-burn disturbance windows in rangelands","interactions":[],"lastModifiedDate":"2014-02-12T09:32:09","indexId":"70093728","displayToPublicDate":"2013-08-01T08:57:51","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Phenology-based, remote sensing of post-burn disturbance windows in rangelands","docAbstract":"Wildland fire activity has increased in many parts of the world in recent decades. Ecological disturbance by fire can accelerate ecosystem degradation processes such as erosion due to combustion of vegetation that otherwise provides protective cover to the soil surface. This study employed a novel ecological indicator based on remote sensing of vegetation greenness dynamics (phenology) to estimate variability in the window of time between fire and the reemergence of green vegetation. The indicator was applied as a proxy for short-term, post-fire disturbance windows in rangelands; where a disturbance window is defined as the time required for an ecological or geomorphic process that is altered to return to pre-disturbance levels. We examined variability in the indicator determined for time series of MODIS and AVHRR NDVI remote sensing data for a database of ∼100 historical wildland fires, with associated post-fire reseeding treatments, that burned 1990–2003 in cold desert shrub steppe of the Great Basin and Columbia Plateau of the western USA. The indicator-based estimates of disturbance window length were examined relative to the day of the year that fires burned and seeding treatments to consider effects of contemporary variability in fire regime and management activities in this environment. A key finding was that contemporary changes of increased length of the annual fire season could have indirect effects on ecosystem degradation, as early season fires appeared to result in longer time that soils remained relatively bare of the protective cover of vegetation after fires. Also important was that reemergence of vegetation did not occur more quickly after fire in sites treated with post-fire seeding, which is a strategy commonly employed to accelerate post-fire vegetation recovery and stabilize soil. Future work with the indicator could examine other ecological factors that are dynamic in space and time following disturbance – such as nutrient cycling, carbon storage, microbial community composition, or soil hydrology – as a function of disturbance windows, possibly using simulation modeling and historical wildfire information.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Indicators","largerWorkSubtype":{"id":10,"text":"Journal Article"},"publisher":"Elsevier","doi":"10.1016/j.ecolind.2013.02.004","usgsCitation":"Sankeya, J.B., Wallace, C., and Ravi, S., 2013, Phenology-based, remote sensing of post-burn disturbance windows in rangelands: Ecological Indicators, v. 30, p. 35-44, https://doi.org/10.1016/j.ecolind.2013.02.004.","productDescription":"10 p.","startPage":"35","endPage":"44","ipdsId":"IP-043510","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":282293,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282292,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolind.2013.02.004"}],"country":"United States","state":"California;Idaho;Nevada;Oregon;Utah;Washington","otherGeospatial":"Great Basin;Columbia Plateau","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.11,34.92 ], [ -120.11,46.83 ], [ -114.13,46.83 ], [ -114.13,34.92 ], [ -120.11,34.92 ] ] ] } } ] }","volume":"30","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6b1fe4b0b29085103b13","chorus":{"doi":"10.1016/j.ecolind.2013.02.004","url":"http://dx.doi.org/10.1016/j.ecolind.2013.02.004","publisher":"Elsevier BV","authors":"Sankey Joel B., Wallace Cynthia S.A., Ravi Sujith","journalName":"Ecological Indicators","publicationDate":"7/2013","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Sankeya, Joel B.","contributorId":86687,"corporation":false,"usgs":true,"family":"Sankeya","given":"Joel","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":490183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wallace, Cynthia S.A.","contributorId":70487,"corporation":false,"usgs":true,"family":"Wallace","given":"Cynthia S.A.","affiliations":[],"preferred":false,"id":490182,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ravi, Sujith","contributorId":40844,"corporation":false,"usgs":true,"family":"Ravi","given":"Sujith","affiliations":[],"preferred":false,"id":490181,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70047845,"text":"70047845 - 2013 - Magma mixing and the generation of isotopically juvenile silicic magma at Yellowstone caldera inferred from coupling 238U–230Th ages with trace elements and Hf and O isotopes in zircon and Pb isotopes in sanidine","interactions":[],"lastModifiedDate":"2013-08-28T08:54:05","indexId":"70047845","displayToPublicDate":"2013-08-01T08:46:10","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1336,"text":"Contributions to Mineralogy and Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Magma mixing and the generation of isotopically juvenile silicic magma at Yellowstone caldera inferred from coupling 238U–230Th ages with trace elements and Hf and O isotopes in zircon and Pb isotopes in sanidine","docAbstract":"The nature of compositional heterogeneity within large silicic magma bodies has important implications for how silicic reservoirs are assembled and evolve through time. We examine compositional heterogeneity in the youngest (~170 to 70 ka) post-caldera volcanism at Yellowstone caldera, the Central Plateau Member (CPM) rhyolites, as a case study. We compare 238U–230Th age, trace-element, and Hf isotopic data from zircons, and major-element, Ba, and Pb isotopic data from sanidines hosted in two CPM rhyolites (Hayden Valley and Solfatara Plateau flows) and one extracaldera rhyolite (Gibbon River flow), all of which erupted near the caldera margin ca. 100 ka. The Hayden Valley flow hosts two zircon populations and one sanidine population that are consistent with residence in the CPM reservoir. The Gibbon River flow hosts one zircon population that is compositionally distinct from Hayden Valley flow zircons. The Solfatara Plateau flow contains multiple sanidine populations and all three zircon populations found in the Hayden Valley and Gibbon River flows, demonstrating that the Solfatara Plateau flow formed by mixing extracaldera magma with the margin of the CPM reservoir. This process highlights the dynamic nature of magmatic interactions at the margins of large silicic reservoirs. More generally, Hf isotopic data from the CPM zircons provide the first direct evidence for isotopically juvenile magmas contributing mass to the youngest post-caldera magmatic system and demonstrate that the sources contributing magma to the CPM reservoir were heterogeneous in 176Hf/177Hf at ca. 100 ka. Thus, the limited compositional variability of CPM glasses reflects homogenization occurring within the CPM reservoir, not a homogeneous source.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Contributions to Mineralogy and Petrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00410-013-0893-2","usgsCitation":"Stelten, M., Cooper, K.M., Vazquez, J.A., Reid, M.R., Barfod, G.H., Wimpenny, J., and Yin, Q., 2013, Magma mixing and the generation of isotopically juvenile silicic magma at Yellowstone caldera inferred from coupling 238U–230Th ages with trace elements and Hf and O isotopes in zircon and Pb isotopes in sanidine: Contributions to Mineralogy and Petrology, v. 166, no. 2, p. 587-613, https://doi.org/10.1007/s00410-013-0893-2.","productDescription":"27 p.","startPage":"587","endPage":"613","ipdsId":"IP-048831","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":277047,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00410-013-0893-2"},{"id":277048,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007/s00410-013-0893-2"},{"id":277073,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone Caldera","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.156,44.1324 ], [ -111.156,45.109 ], [ -109.8242,45.109 ], [ -109.8242,44.1324 ], [ -111.156,44.1324 ] ] ] } } ] }","volume":"166","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-06-27","publicationStatus":"PW","scienceBaseUri":"521f1beae4b0f8bf2b076140","contributors":{"authors":[{"text":"Stelten, Mark E.","contributorId":58544,"corporation":false,"usgs":true,"family":"Stelten","given":"Mark E.","affiliations":[],"preferred":false,"id":483127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cooper, Kari M.","contributorId":32814,"corporation":false,"usgs":true,"family":"Cooper","given":"Kari","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":483125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":483122,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reid, Mary R.","contributorId":11925,"corporation":false,"usgs":true,"family":"Reid","given":"Mary","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":483123,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barfod, Gry H.","contributorId":59331,"corporation":false,"usgs":true,"family":"Barfod","given":"Gry","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":483128,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wimpenny, Josh","contributorId":35223,"corporation":false,"usgs":true,"family":"Wimpenny","given":"Josh","affiliations":[],"preferred":false,"id":483126,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yin, Qing-Zhu","contributorId":23833,"corporation":false,"usgs":true,"family":"Yin","given":"Qing-Zhu","affiliations":[],"preferred":false,"id":483124,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70095677,"text":"70095677 - 2013 - Proceedings of a workshop on American Eel passage technologies","interactions":[],"lastModifiedDate":"2018-01-26T17:07:15","indexId":"70095677","displayToPublicDate":"2013-08-01T08:43:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesNumber":"90","title":"Proceedings of a workshop on American Eel passage technologies","docAbstract":"

Recent concerns regarding a decline in recruitment of American eels (Anguilla rostrata) have prompted efforts to restore this species to historic habitats by providing passage for both upstream migrant juveniles and downstream migrant adults at riverine barriers, including low-head and hydroelectric dams (Castonguay et al. 1994, Haro et al. 2000). These efforts include development of management plans and stock assessment reviews in both the US and Canada (COSEWIC 2006, Canadian Eel Working Group 2009, DFO 2010, MacGregor et al. 2010, ASMFC 2000, ASMFC 2006, ASMFC 2008, Williams and Threader 2007), which target improvement of upstream and downstream passage for eels, as well as identification and prioritization of research needs for development of new and more effective passage technologies for American eels.

\n
\n

Traditional upstream fish passage structures, such as fishways and fish lifts, are often ineffective passing juvenile eels, and specialized passage structures for this species are needed. Although designs for such passage structures are available and diverse (Knights and White 1998, Porcher 2002, FAO/DVWK 2002, Solomon and Beach 2004a,b, Environment Agency UK 2011), many biologists, managers, and engineers are unfamiliar with eel pass design and operation, or unaware of the technical options available for upstream eel passage, Better coordination is needed to account for eel passage requirements during restoration efforts for other diadromous fish species. Also, appropriately siting eel passes at hydropower projects is critical, and siting can be difficult and complex due to physical restrictions in access to points of natural concentrations of eels, dynamic hydraulics of tailrace areas, and presence of significant competing flows from turbine outfalls or spill. As a result, some constructed eel passes are sited poorly and may pass only a fraction of the number of eels attempting to pass the barrier. When sited and constructed appropriately, however, eel passes can effectively pass thousands of individuals in a season (Appendix D).

\n
\n

\ntechnologies for preventing impingement and entrainment mortality and injury of downstream migrant eels at hydropower projects are not well developed. Traditional downstream fish passage mitigative techniques originally developed for salmonids and other species are frequently ineffective passing eels (Richkus and Dixon 2003, EPRI 2001, Bruijs and Durif 2009). Large hydropower projects, with high project flows or intake openings that cannot be fitted with racks or screens with openings small enough to exclude eels, pose significant passage problems for this species, and turbine impingement and entrainment mortality of eels can be as high as 100%. Spill mortality and injury may also be significant for eels, given their tendency to move during high flow events when projects typically spill large amounts of flow. Delays in migration of eels that have difficulty locating and utilizing bypass entrances can also be significant. Therefore, downstream passage technologies are at a much more nebulous state of development than upstream passage technologies, and require further evaluation and improvement before rigorous design guidelines can be established.

\n
\n

There have been few studies conducted to evaluate effectiveness of current mitigative measures for both upstream and downstream passage of eels. Research is needed to determine eel migratory timing, behavior, and appropriate mitigation technologies for specific sites and eel life history stages. Both upstream and downstream eel passage structures can be difficult to evaluate in terms of performance, and examples of how evaluation and monitoring can be accomplished were reviewed at the workshop.

","language":"English","publisher":"Atlantic States Marine Fisheries Commission","publisherLocation":"Gloucester, MA","usgsCitation":"Haro, A.J., 2013, Proceedings of a workshop on American Eel passage technologies, iv, 32 p.","productDescription":"iv, 32 p.","numberOfPages":"38","ipdsId":"IP-049129","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":289469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":283466,"type":{"id":11,"text":"Document"},"url":"https://www.asmfc.org/uploads/file/sr90AmericaEelPassageWorkshopReport_July2013.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bbc180e4b084059e8bfef3","contributors":{"authors":[{"text":"Haro, Alexander J. 0000-0002-7188-9172 aharo@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-9172","contributorId":2917,"corporation":false,"usgs":true,"family":"Haro","given":"Alexander","email":"aharo@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":491337,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70048420,"text":"70048420 - 2013 - Geologic effects on groundwater salinity and discharge into an estuary","interactions":[],"lastModifiedDate":"2018-03-05T16:17:18","indexId":"70048420","displayToPublicDate":"2013-08-01T08:40:39","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Geologic effects on groundwater salinity and discharge into an estuary","docAbstract":"

Submarine groundwater discharge (SGD) can be an important pathway for transport of nutrients and contaminants to estuaries. A better understanding of the geologic and hydrologic controls on these fluxes is critical for their estimation and management. We examined geologic features, porewater salinity, and SGD rates and patterns at an estuarine study site. Seismic data showed the existence of paleovalleys infilled with estuarine mud and peat that extend hundreds of meters offshore. A low-salinity groundwater plume beneath this low-permeability fill was mapped with continuous resistivity profiling. Extensive direct SGD measurements with seepage meters (n = 551) showed fresh groundwater discharge patterns that correlated well with shallow porewater salinity and the hydrogeophysical framework. Small-scale variability in fresh and saline discharge indicates influence of meter-scale geologic heterogeneity, while site-scale discharge patterns are evidence of the influence of the paleovalley feature. Beneath the paleovalley fill, fresh groundwater flows offshore and mixes with saltwater before discharging along paleovalley flanks. On the adjacent drowned interfluve where low-permeability fill is absent, fresh groundwater discharge is focused at the shoreline. Shallow saltwater exchange was greatest across sandy sediments and where fresh SGD was low. The geologic control of groundwater flowpaths and discharge salinity demonstrated in this work are likely to affect geochemical reactions and the chemical loads delivered by SGD to coastal surface waters. Because similar processes are likely to exist in other estuaries where drowned paleovalleys commonly cross modern shorelines, the existence and implications of complex hydrogeology are important considerations for studies of groundwater fluxes and related management decisions.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2013.05.049","usgsCitation":"Russonielloa, C.J., Fernandeza, C., Bratton, J.F., Banaszakc, J.F., Krantzc, D.E., Andresd, S., Konikow, L.F., and Michaela, H.A., 2013, Geologic effects on groundwater salinity and discharge into an estuary: Journal of Hydrology, v. 498, p. 1-12, https://doi.org/10.1016/j.jhydrol.2013.05.049.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-044951","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":278179,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware","otherGeospatial":"Indian River Bay","volume":"498","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5246e918e4b035b7f35addd0","contributors":{"authors":[{"text":"Russonielloa, Christopher J.","contributorId":92963,"corporation":false,"usgs":true,"family":"Russonielloa","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fernandeza, Cristina","contributorId":94963,"corporation":false,"usgs":true,"family":"Fernandeza","given":"Cristina","email":"","affiliations":[],"preferred":false,"id":484576,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bratton, John F. 0000-0003-0376-4981 jbratton@usgs.gov","orcid":"https://orcid.org/0000-0003-0376-4981","contributorId":92757,"corporation":false,"usgs":true,"family":"Bratton","given":"John","email":"jbratton@usgs.gov","middleInitial":"F.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Banaszakc, Joel F.","contributorId":102369,"corporation":false,"usgs":true,"family":"Banaszakc","given":"Joel","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":484578,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krantzc, David E.","contributorId":84259,"corporation":false,"usgs":true,"family":"Krantzc","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":484573,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andresd, Scott","contributorId":97413,"corporation":false,"usgs":true,"family":"Andresd","given":"Scott","email":"","affiliations":[],"preferred":false,"id":484577,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Konikow, Leonard F. 0000-0002-0940-3856 lkonikow@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-3856","contributorId":158,"corporation":false,"usgs":true,"family":"Konikow","given":"Leonard","email":"lkonikow@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":484574,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Michaela, Holly A.","contributorId":57357,"corporation":false,"usgs":true,"family":"Michaela","given":"Holly","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484572,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70047986,"text":"70047986 - 2013 - Sex difference in polychlorinated biphenyl concentrations of burbot Lota lota from Lake Erie","interactions":[],"lastModifiedDate":"2013-10-30T14:18:54","indexId":"70047986","displayToPublicDate":"2013-08-01T08:22:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Sex difference in polychlorinated biphenyl concentrations of burbot Lota lota from Lake Erie","docAbstract":"Whole-fish polychlorinated biphenyl (PCB) concentrations were determined for 25 female and 25 male burbot Lota lota from Lake Erie. Bioenergetics modeling was used to investigate whether the sex difference in growth rate resulted in a difference in gross growth efficiency (GGE) between the sexes. For ages 6–13 years, male burbot averaged 28 % greater PCB concentrations than female burbot. The sex difference in PCB concentrations widened for ages 14–17 years, with male burbot having, on average, 71 % greater PCB concentrations than female burbot. Bioenergetics modeling results showed that the faster growth rate exhibited by female burbot did not lead to greater GGE in female individuals of the younger burbot and that the faster growth by female fish led to female GGE being only 2 % greater than male GGE in older burbot. Although our bioenergetics modeling could not explain the observed sex difference in PCB concentrations, we concluded that a sex difference in GGE was the most plausible explanation for the sex difference in PCB concentrations of burbot ages 6–13 years. Not only are male fish likely to be more active than female fish, but the resting metabolic rate of male fish may be greater than that of female fish. We also concluded that the widening of the sex difference in PCB concentrations for the older burbot may be due to many of the older male burbot spending a substantial amount of time in the vicinity of mouths of rivers contaminated with PCBs.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Archives of Environmental Contamination and Toxicology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00244-013-9901-9","usgsCitation":"Madenjian, C., Stapanian, M., Rediske, R., and O’Keefe, J.P., 2013, Sex difference in polychlorinated biphenyl concentrations of burbot Lota lota from Lake Erie: Archives of Environmental Contamination and Toxicology, v. 65, no. 2, p. 300-308, https://doi.org/10.1007/s00244-013-9901-9.","productDescription":"9 p.","startPage":"300","endPage":"308","ipdsId":"IP-049237","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":277303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277302,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00244-013-9901-9"}],"country":"United States","state":"New York;Ohio;Pennsylvania","otherGeospatial":"Lake Erie","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81,41.11 ], [ -81,42.15 ], [ -78.13,42.15 ], [ -78.13,41.11 ], [ -81,41.11 ] ] ] } } ] }","volume":"65","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-04-17","publicationStatus":"PW","scienceBaseUri":"5229a7e8e4b0f33a3916778a","contributors":{"authors":[{"text":"Madenjian, C.P.","contributorId":64175,"corporation":false,"usgs":true,"family":"Madenjian","given":"C.P.","affiliations":[],"preferred":false,"id":483510,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stapanian, M.A.","contributorId":65437,"corporation":false,"usgs":true,"family":"Stapanian","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":483511,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rediske, R.R.","contributorId":47148,"corporation":false,"usgs":true,"family":"Rediske","given":"R.R.","affiliations":[],"preferred":false,"id":483508,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Keefe, J. P.","contributorId":52478,"corporation":false,"usgs":true,"family":"O’Keefe","given":"J.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":483509,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70047485,"text":"70047485 - 2013 - Foraging habitat for shorebirds in southeastern Missouri and its predicted future availability","interactions":[],"lastModifiedDate":"2013-10-30T13:34:09","indexId":"70047485","displayToPublicDate":"2013-08-01T07:32:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Foraging habitat for shorebirds in southeastern Missouri and its predicted future availability","docAbstract":"Water management to protect agriculture in alluvial floodplains often conflicts with wildlife use of seasonal floodwater. Such is the case along the Mississippi River in southeastern Missouri where migrating shorebirds forage in shallow-flooded fields. I estimated the current availability of habitat for foraging shorebirds within the New Madrid and St. Johns Basins based on daily river elevations (1943–2009), under assumptions that shorebirds forage in open habitat with water depth <15 cm and use mudflats for 3 days after exposure. The area of shorebird foraging habitat, based on replicated 50-year random samples, averaged 975 ha per day during spring and 33 ha per day during fall. Adjustments to account for habitat quality associated with different water depths, duration of mudflat exposure, intra-seasonal availability, and state of agricultural crops, indicated the equivalent of 494 ha daily of optimal habitat during spring and 11 ha during fall. Proposed levees and pumps to protect cropland would reduce shorebird foraging habitat by 80 %: to 211 ha (108 optimal ha) per day during spring and 9 ha (<3 optimal ha) per day during fall. Alternative water management that allows natural flooding below a prescribed elevation would retain nearly all existing shorebird foraging habitat during fall and about 60 % of extant habitat during spring.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s13157-013-0422-0","usgsCitation":"Twedt, D.J., 2013, Foraging habitat for shorebirds in southeastern Missouri and its predicted future availability: Wetlands, v. 33, no. 4, p. 667-678, https://doi.org/10.1007/s13157-013-0422-0.","productDescription":"12 p.","startPage":"667","endPage":"678","ipdsId":"IP-032409","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":276188,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276175,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-013-0422-0"},{"id":276176,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007/s13157-013-0422-0"}],"country":"United States","state":"Missouri","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.77,36.0 ], [ -95.77,40.61 ], [ -89.1,40.61 ], [ -89.1,36.0 ], [ -95.77,36.0 ] ] ] } } ] }","volume":"33","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-04-27","publicationStatus":"PW","scienceBaseUri":"5203a377e4b02bdb1bc63f94","contributors":{"authors":[{"text":"Twedt, Daniel J. 0000-0003-1223-5045 dtwedt@usgs.gov","orcid":"https://orcid.org/0000-0003-1223-5045","contributorId":398,"corporation":false,"usgs":true,"family":"Twedt","given":"Daniel","email":"dtwedt@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":482168,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70058716,"text":"70058716 - 2013 - Wind River watershed restoration. Annual report. November 2011 through October 2012","interactions":[],"lastModifiedDate":"2016-05-17T08:51:18","indexId":"70058716","displayToPublicDate":"2013-08-01T02:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Wind River watershed restoration. Annual report. November 2011 through October 2012","docAbstract":"

Introduction

\n

This report summarizes work by U.S. Geological Survey’s Columbia River Research Laboratory (USGS-CRRL) in the Wind River subbasin, from November 2011 through October 2012. Funding was provided by Bonneville Power Administration (BPA) under contract 55275. The primary focus of USGS activities during this time was tagging of parr steelhead Oncorhynchus mykiss with Passive Integrated Transponder (PIT) tags, and establishing a network of instream PIT tag interrogation systems (PTIS). The PIT-tagged parr steelhead will provide movement and life history data through recapture events and detections at instream PTIS systems, will contribute to estimates of adult steelhead returning to the Wind River, and aid in the evaluation of the removal of Hemlock Dam on Trout Creek steelhead populations.

\n

The Wind River Watershed project (BPA Project Number 1998-019-00) is a collaborative effort to restore wild steelhead in the Wind River, WA. The four partner agencies are the U.S. Forest Service (USFS), Washington Department of Fish and Wildlife (WDFW), USGS-CRRL, and Underwood Conservation District (UCD). This partnership was established in the early 1990s with support from BPA, and has continued to conduct extensive habitat, research, monitoring, and coordination activities across the subbasin. The project works at multiple levels to identify and characterize key limiting habitat factors in the Wind River; restore degraded habitats and watershed processes; document fish populations, life histories, and interactions; investigate efficacy of restoration actions; and to share information across agency and non-agency boundaries. Long-term research in the Wind River has focused on assessments of steelhead/rainbow trout populations, relationships with introduced populations of spring Chinook salmon O. tshawytscha and brook trout Salvelinus fontinalis, and effects of habitat variables and habitat restoration on fish productivity.

\n

During the period covered by this report, we PIT tagged steelhead parr in headwater sections of the subbasin (Figure 1), maintained a PTIS in Trout Creek, installed a PTIS in the Wind River, and installed smaller scale PTISs in Trapper Creek, Paradise Creek, and the Wind River upstream of Paradise Creek (Figure 2). Additionally we maintained thermologgers to collect water temperature data near the PIT tagging sites. 

\n

A statement of work (SOW) was submitted to BPA in October 2011 that outlined work to be performed by USGS-CRRL. The SOW was organized by Work Element (WE), with each describing a research task. This report summarizes the progress completed under each WE.

","language":"English","publisher":"Bonneville Power Administration","collaboration":"BPA Project Number: 1998-019-00. Report covers work performed under BPA contract number: 55275. Report was completed under BPA contract number: 59821.","usgsCitation":"Jezorek, I.G., and Connolly, P., 2013, Wind River watershed restoration. Annual report. November 2011 through October 2012, 40 p.","productDescription":"40 p.","numberOfPages":"41","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2011-11-01","temporalEnd":"2012-10-31","ipdsId":"IP-045885","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":287615,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280261,"type":{"id":11,"text":"Document"},"url":"https://pisces.bpa.gov/release/documents/documentviewer.aspx?doc=P133526","text":"Report","size":"648.14 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Washington","otherGeospatial":"Wind River Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.982107,45.715023 ], [ -121.982107,45.88214 ], [ -121.787086,45.88214 ], [ -121.787086,45.715023 ], [ -121.982107,45.715023 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385b408e4b09e18fc023ad9","contributors":{"authors":[{"text":"Jezorek, Ian G. 0000-0002-3842-3485 ijezorek@usgs.gov","orcid":"https://orcid.org/0000-0002-3842-3485","contributorId":3572,"corporation":false,"usgs":true,"family":"Jezorek","given":"Ian","email":"ijezorek@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":487297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":487296,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046700,"text":"cir1386 - 2013 - National assessment of geologic carbon dioxide storage resources: results","interactions":[],"lastModifiedDate":"2017-08-29T16:18:28","indexId":"cir1386","displayToPublicDate":"2013-08-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1386","title":"National assessment of geologic carbon dioxide storage resources: results","docAbstract":"In 2012, the U.S. Geological Survey (USGS) completed an assessment of the technically accessible storage resources (TASR) for carbon dioxide (CO2) in geologic formations underlying the onshore and State waters area of the United States. The formations assessed are at least 3,000 feet (914 meters) below the ground surface. The TASR is an estimate of the CO2 storage resource that may be available for CO2 injection and storage that is based on present-day geologic and hydrologic knowledge of the subsurface and current engineering practices. Individual storage assessment units (SAUs) for 36 basins were defined on the basis of geologic and hydrologic characteristics outlined in the assessment methodology of Brennan and others (2010, USGS Open-File Report 2010–1127) and the subsequent methodology modification and implementation documentation of Blondes, Brennan, and others (2013, USGS Open-File Report 2013–1055). The mean national TASR is approximately 3,000 metric gigatons (Gt). The estimate of the TASR includes buoyant trapping storage resources (BSR), where CO2 can be trapped in structural or stratigraphic closures, and residual trapping storage resources, where CO2 can be held in place by capillary pore pressures in areas outside of buoyant traps. The mean total national BSR is 44 Gt. The residual storage resource consists of three injectivity classes based on reservoir permeability: residual trapping class 1 storage resource (R1SR) represents storage in rocks with permeability greater than 1 darcy (D); residual trapping class 2 storage resource (R2SR) represents storage in rocks with moderate permeability, defined as permeability between 1 millidarcy (mD) and 1 D; and residual trapping class 3 storage resource (R3SR) represents storage in rocks with low permeability, defined as permeability less than 1 mD. The mean national storage resources for rocks in residual trapping classes 1, 2, and 3 are 140 Gt, 2,700 Gt, and 130 Gt, respectively. The known recovery replacement storage resource (KRRSR) is a conservative estimate that represents only the amount of CO2 at subsurface conditions that could replace the volume of known hydrocarbon production. The mean national KRRSR, determined from production volumes rather than the geologic model of buoyant and residual traps that make up TASR, is 13 Gt. The estimated storage resources are dominated by residual trapping class 2, which accounts for 89 percent of the total resources. The Coastal Plains Region of the United States contains the largest storage resource of any region. Within the Coastal Plains Region, the resources from the U.S. Gulf Coast area represent 59 percent of the national CO2 storage capacity.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1386","usgsCitation":"U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team, 2013, National assessment of geologic carbon dioxide storage resources: results (Version 1: Originally posted June 2013; Version 1.1: September 2013): U.S. Geological Survey Circular 1386, ix, 41 p., https://doi.org/10.3133/cir1386.","productDescription":"ix, 41 p.","numberOfPages":"54","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":241,"text":"Eastern Energy Resources Science 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], [ -130.869140625, 52.64306343665892 ], [ -130.693359375, 54.059387886623576 ], [ -129.990234375, 54.87660665410869 ], [ -130.078125, 55.92458580482951 ], [ -131.1328125, 56.46249048388979 ], [ -132.099609375, 57.088515327886505 ], [ -133.681640625, 58.53959476664049 ], [ -134.736328125, 59.17592824927136 ], [ -135.087890625, 59.66774058164963 ], [ -135.87890625, 59.66774058164963 ], [ -137.197265625, 59.22093407615045 ], [ -138.076171875, 59.62332522313024 ], [ -138.955078125, 60.108670463036 ], [ -139.482421875, 60.50052541051131 ], [ -140.9765625, 60.50052541051131 ], [ -141.064453125, 69.77895177646761 ] ] ] } } ] }","edition":"Version 1: Originally posted June 2013; Version 1.1: September 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51cbff57e4b052f2a4539883","contributors":{"authors":[{"text":"U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team","contributorId":128059,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team","id":535561,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70046701,"text":"fs20133020 - 2013 - National assessment of geologic carbon dioxide storage resources: summary","interactions":[],"lastModifiedDate":"2013-10-30T13:31:42","indexId":"fs20133020","displayToPublicDate":"2013-08-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3020","title":"National assessment of geologic carbon dioxide storage resources: summary","docAbstract":"The U.S. Geological Survey (USGS) recently completed an evaluation of the technically accessible storage resource (TASR) for carbon dioxide (CO2) for 36 sedimentary basins in the onshore areas and State waters of the United States. The TASR is an estimate of the geologic storage resource that may be available for CO2 injection and storage and is based on current geologic and hydrologic knowledge of the subsurface and current engineering practices. By using a geology-based probabilistic assessment methodology, the USGS assessment team members obtained a mean estimate of approximately 3,000 metric gigatons (Gt) of subsurface CO2 storage capacity that is technically accessible below onshore areas and State waters; this amount is more than 500 times the 2011 annual U.S. energy-related CO2 emissions of 5.5 Gt (U.S. Energy Information Administration, 2012, http://www.eia.gov/environment/emissions/carbon/).\n
\nIn 2007, the Energy Independence and Security Act (Public Law 110–140) directed the U.S. Geological Survey to conduct a national assessment of geologic storage resources for CO2 in consultation with the U.S. Environmental Protection Agency, the U.S. Department of Energy, and State geological surveys. The USGS developed a methodology to estimate storage resource potential in geologic formations in the United States (Burruss and others, 2009, USGS Open-File Report (OFR) 2009–1035; Brennan and others, 2010, USGS OFR 2010–1127; Blondes, Brennan, and others, 2013, USGS OFR 2013–1055). In 2012, the USGS completed the assessment, and the results are summarized in this Fact Sheet and are provided in more detail in companion reports (U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team, 2013a,b; see related reports at right).\n
\nThe goal of this project was to conduct an initial assessment of storage capacity on a regional basis, and results are not intended for use in the evaluation of specific sites for potential CO2 storage. The national assessment was a geology-based examination of all sedimentary basins in the onshore and State waters area of the United States that contain storage assessment units (SAUs) that could be defined according to geologic and hydrologic characteristics. Although geologic storage of CO2 may be possible in some areas not assessed by the USGS, the SAUs identified in this assessment represent those areas within sedimentary basins that met the assessment criteria. A geologic description of each SAU was prepared; descriptions for SAUs in several basins are in Warwick and Corum (2012, USGS OFR 2012–1024).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133020","usgsCitation":"U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team, 2013, National assessment of geologic carbon dioxide storage resources: summary (Version 1: Originally posted June 2013; Version 1.1: September 2013): U.S. Geological Survey Fact Sheet 2013-3020, 6 p., https://doi.org/10.3133/fs20133020.","productDescription":"6 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":274232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133020.gif"},{"id":278344,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3020/pdf/fs2013-3020_508.pdf"},{"id":274231,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3020/"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.916667 ], [ 173.0,71.833333 ], [ -66.95,71.833333 ], [ -66.95,16.916667 ], [ 173.0,16.916667 ] ] ] } } ] }","edition":"Version 1: Originally posted June 2013; Version 1.1: September 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51cbff57e4b052f2a4539887","contributors":{"authors":[{"text":"U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team","contributorId":128059,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team","id":535562,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70046702,"text":"ds774 - 2013 - National assessment of geologic carbon dioxide storage resources: data","interactions":[],"lastModifiedDate":"2013-10-30T13:32:13","indexId":"ds774","displayToPublicDate":"2013-08-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"774","title":"National assessment of geologic carbon dioxide storage resources: data","docAbstract":"In 2012, the U.S. Geological Survey (USGS) completed the national assessment of geologic carbon dioxide storage resources. Its data and results are reported in three publications: the assessment data publication (this report), the assessment results publication (U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team, 2013a, USGS Circular 1386), and the assessment summary publication (U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team, 2013b, USGS Fact Sheet 2013–3020). This data publication supports the results publication and contains (1) individual storage assessment unit (SAU) input data forms with all input parameters and details on the allocation of the SAU surface land area by State and general land-ownership category; (2) figures representing the distribution of all storage classes for each SAU; (3) a table containing most input data and assessment result values for each SAU; and (4) a pairwise correlation matrix specifying geological and methodological dependencies between SAUs that are needed for aggregation of results.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds774","usgsCitation":"U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team, 2013, National assessment of geologic carbon dioxide storage resources: data (Version 1: Originally posted June 2013; Version 1.1: September 2013): U.S. Geological Survey Data Series 774, Report: viii, 13 p.; 2 Appendices; 2 Tables, https://doi.org/10.3133/ds774.","productDescription":"Report: viii, 13 p.; 2 Appendices; 2 Tables","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":274233,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds774.gif"},{"id":278266,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/774/pdf/DS774_508.pdf"},{"id":278267,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/774/pdf/Appendix_1.pdf"},{"id":278268,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/774/pdf/Appendix_2.pdf"},{"id":278269,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/774/tables/Table_1.xlsx"},{"id":278270,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/774/tables/Table_2.xlsx"},{"id":274230,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/774/"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.916667 ], [ 173.0,71.833333 ], [ -66.95,71.833333 ], [ -66.95,16.916667 ], [ 173.0,16.916667 ] ] ] } } ] }","edition":"Version 1: Originally posted June 2013; Version 1.1: September 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51cbff56e4b052f2a453987f","contributors":{"authors":[{"text":"U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team","contributorId":128059,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team","id":535563,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70193597,"text":"70193597 - 2013 - Constraints on magma processes, subsurface conditions, and total volatile flux at Bezymianny Volcano in 2007–2010 from direct and remote volcanic gas measurements","interactions":[],"lastModifiedDate":"2019-12-21T08:50:42","indexId":"70193597","displayToPublicDate":"2013-08-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Constraints on magma processes, subsurface conditions, and total volatile flux at Bezymianny Volcano in 2007–2010 from direct and remote volcanic gas measurements","docAbstract":"

Direct and remote measurements of volcanic gas composition, SO2 flux, and eruptive SO2 mass from Bezymianny Volcano were acquired between July 2007 and July 2010. Chemical composition of fumarolic gases, plume SO2 flux from ground and air-based ultraviolet remote sensing (FLYSPEC), and eruptive SO2 mass from Ozone Monitoring Instrument (OMI) satellite observations were used along with eruption timing to elucidate magma processes and subsurface conditions, and to constrain total volatile flux. Bezymianny Volcano had five explosive magmatic eruptions between May 2007 and June 2010. The most complete volcanic gas datasets were acquired for the October 2007, December 2009, and May 2010 eruptions. Gas measurements collected prior to the October 2007 eruption have a relatively high ratio of H2O/CO2 (81.2), a moderate ratio of CO2/S (5.47), and a low ratio of S/HCl (0.338), along with moderate SO2 and CO2 fluxes of 280 and 980 t/d, respectively, and high H2O and HCl fluxes of ~ 45,000 and ~ 440 t/d, respectively. These results suggest degassing of shallow magma (consistent with observations of lava extrusion) along with potential minor degassing of a deeper magma source. Gas measurements collected prior to the December 2009 eruption are characterized by relatively low H2O/CO2 (4.13), moderate CO2/S (6.84), and high S/HCl (18.7) ratios, along with moderate SO2 and CO2 fluxes of ~ 220 and ~ 1000 t/d, respectively, and low H2O and HCl fluxes of ~ 1700 and ~ 7 t/d, respectively. These trends are consistent with degassing of a deeper magma source. Fumarole samples collected ~ 1.5 months following the May 2010 eruption are characterized by high H2O/CO2 (63.0), low CO2/S (0.986), and moderate S/HCl (6.09) ratios. These data are consistent with degassing of a shallow, volatile-rich magma source, likely related to the May eruption. Passive and eruptive SO2 measurements are used to calculate a total annual SO2 mass of 109 kt emitted in 2007, with passive emissions comprising ~ 87–95% of the total. Total annual volatile masses for the study period are estimated to range from 1.1 × 106 to 18 × 106 t/year. Annual CO2 masses are ~ 8 to 40 times larger than can be explained by degassing of dissolved CO2 within eruptive magma, suggesting that the eruptive magma contained a significant quantity of exsolved volatiles sourced either from the eruptive melt or unerupted magma at depth. Variable total volatile fluxes ranging from ~ 3000 t/d in 2009 to ~ 49,000 t/d in 2007 are attributed to variations in the depth of gas exsolution and separation from the melt under open-system degassing conditions. We propose that exsolved volatiles are quickly transported to the surface from ascending magma via permeable flow through a bubble and/or fracture network within the conduit and thus retain their equilibrium composition at the time of segregation from melt. The composition of surface CO2 and H2O emissions from 2007 to 2009 are compared with modeled exsolved fluid compositions for a magma body ascending from entrapment depths to estimate depth of fluid exsolution and separation from the melt. We find that at the time of sample collection magma had already begun ascent from the mid-crustal storage region and was located at maximum depths of ~ 3.7 km in August 2007, approximately 2 months prior to the next magmatic eruption, and ~ 4.6 km in July of 2009 approximately five months prior to the next magmatic eruption. These findings suggest that the exsolved gas composition at Bezymianny Volcano may be used to detect magma ascent prior to eruption.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2012.10.015","usgsCitation":"Lopez, T., Ushakov, S., Izbekov, P., Tassi, F., Cahill, C., Neill, O., and Werner, C.A., 2013, Constraints on magma processes, subsurface conditions, and total volatile flux at Bezymianny Volcano in 2007–2010 from direct and remote volcanic gas measurements: Journal of Volcanology and Geothermal Research, v. 263, p. 92-107, https://doi.org/10.1016/j.jvolgeores.2012.10.015.","productDescription":"16 p.","startPage":"92","endPage":"107","ipdsId":"IP-042711","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473629,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.openaccessrepository.it/record/25641","text":"Publisher Index Page"},{"id":348148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia","otherGeospatial":"Bezymianny Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 159.521484375,\n 55.178867663281984\n ],\n [\n 161.60888671875,\n 55.178867663281984\n ],\n [\n 161.60888671875,\n 57.028773851491124\n ],\n [\n 159.521484375,\n 57.028773851491124\n ],\n [\n 159.521484375,\n 55.178867663281984\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"263","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fc2eace4b0531197b27fbb","contributors":{"authors":[{"text":"Lopez, Taryn","contributorId":146828,"corporation":false,"usgs":false,"family":"Lopez","given":"Taryn","affiliations":[{"id":16753,"text":"University of Alaska Geophysical Institute","active":true,"usgs":false}],"preferred":false,"id":719977,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ushakov, Sergey","contributorId":12135,"corporation":false,"usgs":true,"family":"Ushakov","given":"Sergey","email":"","affiliations":[],"preferred":false,"id":719978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Izbekov, Pavel","contributorId":85950,"corporation":false,"usgs":true,"family":"Izbekov","given":"Pavel","affiliations":[],"preferred":false,"id":719979,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tassi, Franco","contributorId":95776,"corporation":false,"usgs":true,"family":"Tassi","given":"Franco","email":"","affiliations":[],"preferred":false,"id":719980,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cahill, Cathy","contributorId":199768,"corporation":false,"usgs":false,"family":"Cahill","given":"Cathy","email":"","affiliations":[],"preferred":false,"id":719981,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Neill, Owen","contributorId":199769,"corporation":false,"usgs":false,"family":"Neill","given":"Owen","affiliations":[],"preferred":false,"id":719982,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Werner, Cynthia A. cwerner@usgs.gov","contributorId":2540,"corporation":false,"usgs":true,"family":"Werner","given":"Cynthia","email":"cwerner@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":719983,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70176403,"text":"70176403 - 2013 - Slab tears and intermediate-depth seismicity","interactions":[],"lastModifiedDate":"2016-09-13T09:53:44","indexId":"70176403","displayToPublicDate":"2013-08-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Slab tears and intermediate-depth seismicity","docAbstract":"

Active tectonic regions where plate boundaries transition from subduction to strike slip can take several forms, such as triple junctions, acute, and obtuse corners. Well-documented slab tears that are associated with high rates of intermediate-depth seismicity are considered here: Gibraltar arc, the southern and northern ends of the Lesser Antilles arc, and the northern end of Tonga trench. Seismicity at each of these locations occurs, at times, in the form of swarms or clusters, and various authors have proposed that each marks an active locus of tear propagation. The swarms and clusters start at the top of the slab below the asthenospheric wedge and extend 30–60 km vertically downward within the slab. We propose that these swarms and clusters are generated by fluid-related embrittlement of mantle rocks. Focal mechanisms of these swarms generally fit the shear motion that is thought to be associated with the tearing process.

","language":"English","publisher":"AGU Publications","doi":"10.1002/grl.50830","usgsCitation":"Meighan, H.E., ten Brink, U., and Pulliam, J., 2013, Slab tears and intermediate-depth seismicity: Geophysical Research Letters, v. 40, no. 16, p. 4244-4248, https://doi.org/10.1002/grl.50830.","productDescription":"5 p.","startPage":"4244","endPage":"4248","ipdsId":"IP-050846","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473630,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/grl.50830","text":"Publisher Index Page"},{"id":328592,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"16","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2013-08-27","publicationStatus":"PW","scienceBaseUri":"57d92343e4b090824ffa1b35","contributors":{"authors":[{"text":"Meighan, Hallie E.","contributorId":76208,"corporation":false,"usgs":true,"family":"Meighan","given":"Hallie","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":648612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":false,"id":648611,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pulliam, Jay","contributorId":105621,"corporation":false,"usgs":true,"family":"Pulliam","given":"Jay","email":"","affiliations":[],"preferred":false,"id":648613,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70039319,"text":"70039319 - 2013 - Energy cost of vessel disturbance to Kittlitz's Murrelets Brachyramphus brevirostris","interactions":[],"lastModifiedDate":"2015-06-19T10:01:06","indexId":"70039319","displayToPublicDate":"2013-08-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2675,"text":"Marine Ornithology: Journal of Seabird Research and Conservation","onlineIssn":"2074-1235","printIssn":"1018-3337","active":true,"publicationSubtype":{"id":10}},"title":"Energy cost of vessel disturbance to Kittlitz's Murrelets Brachyramphus brevirostris","docAbstract":"

We evaluated the energy cost of vessel disturbance for individual Kittlitz’s Murrelets Brachyramphus brevirostris in Glacier Bay National Park and Preserve in Alaska, USA. We used Monte Carlo simulations to model the daily energy expense associated with flight from vessels by both breeding and non-breeding birds and evaluated risk based on both the magnitude of costs incurred and the degree to which the costs may be chronic. We used two scenarios of vessel disturbance for average- and peak-vessel traffic. Because they are more likely to fly away from vessels, non-breeding birds had a greater increase in energy expenditure when disturbed (up to 30% increase under the average scenario and >50% increase under the peak scenario) than breeders (up to 10% and 30% increases under the average and peak scenarios, respectively). Likewise, non-breeding birds were more likely to experience chronic increases in energy expense (i.e. a greater percentage of days with an increase in energy expenditure) than breeding birds. Our modeling results indicated that breeding and non-breeding birds were both susceptible to fitness consequences (e.g. reduced reproductive success and survival) resulting from the energy cost.

","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Ornithology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Marine Ornithology","usgsCitation":"Agness, A.M., Marshall, K.N., Piatt, J.F., Ha, J.C., and VanBlaricom, G., 2013, Energy cost of vessel disturbance to Kittlitz's Murrelets Brachyramphus brevirostris: Marine Ornithology: Journal of Seabird Research and Conservation, v. 41, no. 1, p. 13-21.","productDescription":"9 p.","startPage":"13","endPage":"21","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034051","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":277411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":301338,"type":{"id":15,"text":"Index Page"},"url":"https://www.marineornithology.org/cgi-bin/getpage.cgi?vol=41&no=1"}],"country":"United States","state":"Alaska","otherGeospatial":"Glacier Bay National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -138.4141,58.1591 ], [ -138.4141,59.483 ], [ -135.3167,59.483 ], [ -135.3167,58.1591 ], [ -138.4141,58.1591 ] ] ] } } ] }","volume":"41","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"522af964e4b08fd0132e799a","contributors":{"authors":[{"text":"Agness, Alison M.","contributorId":17520,"corporation":false,"usgs":true,"family":"Agness","given":"Alison","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":466065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marshall, Kristin N.","contributorId":27178,"corporation":false,"usgs":true,"family":"Marshall","given":"Kristin","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":466066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piatt, John F. 0000-0002-4417-5748 jpiatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":3025,"corporation":false,"usgs":true,"family":"Piatt","given":"John","email":"jpiatt@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":466064,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ha, James C.","contributorId":69457,"corporation":false,"usgs":true,"family":"Ha","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":466068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"VanBlaricom, Glenn R.","contributorId":39273,"corporation":false,"usgs":true,"family":"VanBlaricom","given":"Glenn R.","affiliations":[],"preferred":false,"id":466067,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70187700,"text":"70187700 - 2013 - Modeling spatially explicit fire impact on gross primary production in interior Alaska using satellite images coupled with eddy covariance","interactions":[],"lastModifiedDate":"2017-05-15T14:37:25","indexId":"70187700","displayToPublicDate":"2013-08-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Modeling spatially explicit fire impact on gross primary production in interior Alaska using satellite images coupled with eddy covariance","docAbstract":"

In interior Alaska, wildfires change gross primary production (GPP) after the initial disturbance. The impact of fires on GPP is spatially heterogeneous, which is difficult to evaluate by limited point-based comparisons or is insufficient to assess by satellite vegetation index. The direct prefire and postfire comparison is widely used, but the recovery identification may become biased due to interannual climate variability. The objective of this study is to propose a method to quantify the spatially explicit GPP change caused by fires and succession. We collected three Landsat images acquired on 13 July 2004, 5 August 2004, and 6 September 2004 to examine the GPP recovery of burned area from 1987 to 2004. A prefire Landsat image acquired in 1986 was used to reconstruct satellite images assuming that the fires of 1987–2004 had not occurred. We used a light-use efficiency model to estimate the GPP. This model was driven by maximum light-use efficiency (Emax) and fraction of photosynthetically active radiation absorbed by vegetation (FPAR). We applied this model to two scenarios (i.e., an actual postfire scenario and an assuming-no-fire scenario), where the changes in Emax and FPAR were taken into account. The changes in Emax were represented by the change in land cover of evergreen needleleaf forest, deciduous broadleaf forest, and shrub/grass mixed, whose Emax was determined from three fire chronosequence flux towers as 1.1556, 1.3336, and 0.5098 gC/MJ PAR. The changes in FPAR were inferred from NDVI change between the actual postfire NDVI and the reconstructed NDVI. After GPP quantification for July, August, and September 2004, we calculated the difference between the two scenarios in absolute and percent GPP changes. Our results showed rapid recovery of GPP post-fire with a 24% recovery immediately after burning and 43% one year later. For the fire scars with an age range of 2–17 years, the recovery rate ranged from 54% to 95%. In addition to the averaging, our approach further revealed the spatial heterogeneity of fire impact on GPP, allowing one to examine the spatially explicit GPP change caused by fires.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2013.04.003","usgsCitation":"Huang, S., Liu, H., Dahal, D., Jin, S., Welp, L.R., Liu, J., and Liu, S., 2013, Modeling spatially explicit fire impact on gross primary production in interior Alaska using satellite images coupled with eddy covariance: Remote Sensing of Environment, v. 135, p. 178-188, https://doi.org/10.1016/j.rse.2013.04.003.","productDescription":"11 p.","startPage":"178","endPage":"188","ipdsId":"IP-045013","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":341315,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"135","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591abe3ae4b0a7fdb43c8c03","contributors":{"authors":[{"text":"Huang, Shengli shuang@usgs.gov","contributorId":1926,"corporation":false,"usgs":true,"family":"Huang","given":"Shengli","email":"shuang@usgs.gov","affiliations":[],"preferred":true,"id":695166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Heping","contributorId":117909,"corporation":false,"usgs":true,"family":"Liu","given":"Heping","affiliations":[],"preferred":false,"id":695170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dahal, Devendra 0000-0001-9594-1249 ddahal@usgs.gov","orcid":"https://orcid.org/0000-0001-9594-1249","contributorId":5622,"corporation":false,"usgs":true,"family":"Dahal","given":"Devendra","email":"ddahal@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":695169,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jin, Suming 0000-0001-9919-8077 sjin@usgs.gov","orcid":"https://orcid.org/0000-0001-9919-8077","contributorId":4397,"corporation":false,"usgs":true,"family":"Jin","given":"Suming","email":"sjin@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":695167,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Welp, Lisa R.","contributorId":192025,"corporation":false,"usgs":false,"family":"Welp","given":"Lisa","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":695171,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liu, Jinxun 0000-0003-0561-8988 jxliu@usgs.gov","orcid":"https://orcid.org/0000-0003-0561-8988","contributorId":3414,"corporation":false,"usgs":true,"family":"Liu","given":"Jinxun","email":"jxliu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":695165,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":695168,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70173475,"text":"70173475 - 2013 - Air - water temperature relationships in the trout streams of southeastern Minnesota’s carbonate - sandstone landscape","interactions":[],"lastModifiedDate":"2016-06-16T16:20:51","indexId":"70173475","displayToPublicDate":"2013-08-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Air - water temperature relationships in the trout streams of southeastern Minnesota’s carbonate - sandstone landscape","docAbstract":"

Carbonate-sandstone geology in southeastern Minnesota creates a heterogeneous landscape of springs, seeps, and sinkholes that supply groundwater into streams. Air temperatures are effective predictors of water temperature in surface-water dominated streams. However, no published work investigates the relationship between air and water temperatures in groundwater-fed streams (GWFS) across watersheds. We used simple linear regressions to examine weekly air-water temperature relationships for 40 GWFS in southeastern Minnesota. A 40-stream, composite linear regression model has a slope of 0.38, an intercept of 6.63, and R2 of 0.83. The regression models for GWFS have lower slopes and higher intercepts in comparison to surface-water dominated streams. Regression models for streams with high R2 values offer promise for use as predictive tools for future climate conditions. Climate change is expected to alter the thermal regime of groundwater-fed systems, but will do so at a slower rate than surface-water dominated systems. A regression model of intercept vs. slope can be used to identify streams for which water temperatures are more meteorologically than groundwater controlled, and thus more vulnerable to climate change. Such relationships can be used to guide restoration vs. management strategies to protect trout streams.

","language":"English","publisher":"Wiley","doi":"10.1111/jawr.12046","usgsCitation":"Krider, L.A., Magner, J.A., Perry, J., Vondracek, B.C., and Ferrington, L.C., 2013, Air - water temperature relationships in the trout streams of southeastern Minnesota’s carbonate - sandstone landscape: Journal of the American Water Resources Association, v. 49, no. 4, p. 896-907, https://doi.org/10.1111/jawr.12046.","productDescription":"12 p.","startPage":"896","endPage":"907","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036165","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323823,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.01599121093749,\n 44.38669150215206\n ],\n [\n -92.9718017578125,\n 44.35920579433503\n ],\n [\n -93.1585693359375,\n 44.24126379833979\n ],\n [\n -93.0706787109375,\n 43.93350594453702\n ],\n [\n -92.3895263671875,\n 43.91372326852401\n ],\n [\n -92.1478271484375,\n 43.69965122967144\n ],\n [\n -92.0379638671875,\n 43.492782808225\n ],\n [\n -91.241455078125,\n 43.492782808225\n ],\n [\n -91.263427734375,\n 43.74728909225906\n ],\n [\n -91.38427734374999,\n 43.96514454266273\n ],\n [\n -91.6644287109375,\n 44.071800467511565\n ],\n [\n -91.8841552734375,\n 44.22158376545796\n ],\n [\n -91.9500732421875,\n 44.37098696297173\n ],\n [\n -92.01599121093749,\n 44.38669150215206\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"49","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5763cdace4b07657d19ba748","contributors":{"authors":[{"text":"Krider, Lori A.","contributorId":172050,"corporation":false,"usgs":false,"family":"Krider","given":"Lori","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":639450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magner, Joseph A.","contributorId":172051,"corporation":false,"usgs":false,"family":"Magner","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":639451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perry, Jim","contributorId":111771,"corporation":false,"usgs":true,"family":"Perry","given":"Jim","affiliations":[],"preferred":false,"id":639452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vondracek, Bruce C. bcv@usgs.gov","contributorId":904,"corporation":false,"usgs":true,"family":"Vondracek","given":"Bruce","email":"bcv@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637177,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ferrington, Leonard C. Jr.","contributorId":172049,"corporation":false,"usgs":false,"family":"Ferrington","given":"Leonard","suffix":"Jr.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":639453,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70176623,"text":"70176623 - 2013 - Disruption rates for one vulnerable soil in Organ Pipe Cactus National Monument, Arizona, USA","interactions":[],"lastModifiedDate":"2017-04-27T10:51:32","indexId":"70176623","displayToPublicDate":"2013-08-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Disruption rates for one vulnerable soil in Organ Pipe Cactus National Monument, Arizona, USA","docAbstract":"

Rates of soil disruption from hikers and vehicle traffic are poorly known, particularly for arid landscapes. We conducted an experiment in Organ Pipe Cactus National Monument (ORPI) in western Arizona, USA, on an air-dry very fine sandy loam that is considered to be vulnerable to disruption. We created variable-pass tracks using hikers, an all-terrain vehicle (ATV), and a four-wheel drive vehicle (4WD) and measured changes in cross-track topography, penetration depth, and bulk density. Hikers (one pass = 5 hikers) increased bulk density and altered penetration depth but caused minimal surface disruption up to 100 passes; a minimum of 10 passes were required to overcome surface strength of this dry soil. Both ATV and 4WD traffic significantly disrupted the soil with one pass, creating deep ruts with increasing passes that rendered the 4WD trail impassable after 20 passes. Despite considerable soil loosening (dilation), bulk density increased in the vehicle trails, and lateral displacement created berms of loosened soil. This soil type, when dry, can sustain up to 10 passes of hikers but only one vehicle pass before significant soil disruption occurs; greater disruption is expected when soils are wet. Bulk density increased logarithmically with applied pressure from hikers, ATV, and 4WD.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2013.03.016","usgsCitation":"Webb, R., Esque, T., Nussear, K.E., and Sturm, M., 2013, Disruption rates for one vulnerable soil in Organ Pipe Cactus National Monument, Arizona, USA: Journal of Arid Environments, v. 95, p. 75-83, https://doi.org/10.1016/j.jaridenv.2013.03.016.","productDescription":"9 p.","startPage":"75","endPage":"83","ipdsId":"IP-036726","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":328892,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Organ Pipe Cactus National Monument","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.6043701171875,\n 31.81572994283835\n ],\n [\n -112.66891479492186,\n 32.15933769278929\n ],\n [\n -112.72247314453124,\n 32.15701248607008\n ],\n [\n -112.72659301757812,\n 32.20350534542368\n ],\n [\n -113.0877685546875,\n 32.20234331330289\n ],\n [\n -113.08090209960938,\n 31.960318444098693\n ],\n [\n -112.6043701171875,\n 31.81572994283835\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"95","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f1aae4b0bc0bec09feee","contributors":{"authors":[{"text":"Webb, Robert H. rhwebb@usgs.gov","contributorId":1573,"corporation":false,"usgs":false,"family":"Webb","given":"Robert H.","email":"rhwebb@usgs.gov","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":649414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esque, Todd C. tesque@usgs.gov","contributorId":138964,"corporation":false,"usgs":true,"family":"Esque","given":"Todd C.","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":649415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nussear, Kenneth E. knussear@usgs.gov","contributorId":2695,"corporation":false,"usgs":true,"family":"Nussear","given":"Kenneth","email":"knussear@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":649416,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sturm, Mark","contributorId":174834,"corporation":false,"usgs":false,"family":"Sturm","given":"Mark","email":"","affiliations":[],"preferred":false,"id":649417,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70137541,"text":"70137541 - 2013 - Antibodies to H5 subtype avian influenza virus and Japanese encephalitis virus in northern pintails (Anas acuta) sampled in Japan","interactions":[],"lastModifiedDate":"2020-12-31T16:12:20.973382","indexId":"70137541","displayToPublicDate":"2013-08-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3847,"text":"Japanese Journal of Veterinary Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Antibodies to H5 subtype avian influenza virus and Japanese encephalitis virus in northern pintails (Anas acuta) sampled in Japan","title":"Antibodies to H5 subtype avian influenza virus and Japanese encephalitis virus in northern pintails (Anas acuta) sampled in Japan","docAbstract":"

Blood samples from 105 northern pintails (Anas acuta) captured on Hokkaido, Japan were tested for antibodies to avian influenza virus (AIV), Japanese encephalitis virus (JEV), and West Nile virus (WNV) to assess possible involvement of this species in the spread of economically important and potentially zoonotic pathogens. Antibodies to AIV were detected in 64 of 105 samples (61%). Of the 64 positives, 95% and 81% inhibited agglutination of two different H5 AIV antigens (H5N1 and H5N9), respectively. Antibodies to JEV and WNV were detected in five (5%) and none of the samples, respectively. Results provide evidence for prior exposure of migrating northern pintails to H5 AIV which couldhave implications for viral shedding and disease occurrence. Results also provide evidence for limited involvement of this species in the transmission and spread of flaviviruses during spring migration.

","language":"English","publisher":"Graduate School of Veterinary Medicine, Hokkaido University","publisherLocation":"Sapporo, Japan","doi":"10.14943/jjvr.61.3.117","usgsCitation":"Ramey, A.M., Spackman, E., Yeh, J., Fujita, G., Konishi, K., Uchida, K., Reed, J.A., Wilcox, B.R., Brown, J.D., and Stallknecht, D.E., 2013, Antibodies to H5 subtype avian influenza virus and Japanese encephalitis virus in northern pintails (Anas acuta) sampled in Japan: Japanese Journal of Veterinary Research, v. 61, no. 3, p. 117-123, https://doi.org/10.14943/jjvr.61.3.117.","productDescription":"8 p.","startPage":"117","endPage":"123","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045726","costCenters":[{"id":117,"text":"Alaska Science Center Biology 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D.","contributorId":87838,"corporation":false,"usgs":false,"family":"Brown","given":"Justin","email":"","middleInitial":"D.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":542665,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stallknecht, David E.","contributorId":14323,"corporation":false,"usgs":false,"family":"Stallknecht","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":542666,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70147410,"text":"70147410 - 2013 - The uses and limitations of the square‐root‐impedance method for computing site amplification","interactions":[],"lastModifiedDate":"2015-05-01T11:54:29","indexId":"70147410","displayToPublicDate":"2013-08-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"The uses and limitations of the square‐root‐impedance method for computing site amplification","docAbstract":"

The square‐root‐impedance (SRI) method is a fast way of computing approximate site amplification that does not depend on the details from velocity models. The SRI method underestimates the peak response of models with large impedance contrasts near their base, but the amplifications for those models is often close to or equal to the root mean square of the theoretical full resonant (FR) response of the higher modes. On the other hand, for velocity models made up of gradients, with no significant impedance changes across small ranges of depth, the SRI method systematically underestimates the theoretical FR response over a wide frequency range. For commonly used gradient models for generic rock sites, the SRI method underestimates the FR response by about 20%–30%. Notwithstanding the persistent underestimation of amplifications from theoretical FR calculations, however, amplifications from the SRI method may often provide more useful estimates of amplifications than the FR method, because the SRI amplifications are not sensitive to details of the models and will not exhibit the many peaks and valleys characteristic of theoretical full resonant amplifications (jaggedness sometimes not seen in amplifications based on averages of site response from multiple recordings at a given site). The lack of sensitivity to details of the velocity models also makes the SRI method useful in comparing the response of various velocity models, in spite of any systematic underestimation of the response. The quarter‐wavelength average velocity, which is fundamental to the SRI method, is useful by itself in site characterization, and as such, is the fundamental parameter used to characterize the site response in a number of recent ground‐motion prediction equations.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120120283","usgsCitation":"Boore, D., 2013, The uses and limitations of the square‐root‐impedance method for computing site amplification: Bulletin of the Seismological Society of America, v. 103, no. 4, p. 2356-2368, https://doi.org/10.1785/0120120283.","productDescription":"13 p.","startPage":"2356","endPage":"2368","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041471","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":300022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"103","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-07-31","publicationStatus":"PW","scienceBaseUri":"5544a3b7e4b0a658d79478d2","contributors":{"authors":[{"text":"Boore, David 0000-0002-8605-9673 boore@usgs.gov","orcid":"https://orcid.org/0000-0002-8605-9673","contributorId":140502,"corporation":false,"usgs":true,"family":"Boore","given":"David","email":"boore@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":545921,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70046371,"text":"70046371 - 2013 - Estimating age ratios and size of Pacific walrus herds on coastal haulouts using video imaging","interactions":[],"lastModifiedDate":"2018-06-16T17:48:39","indexId":"70046371","displayToPublicDate":"2013-07-31T21:52:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Estimating age ratios and size of Pacific walrus herds on coastal haulouts using video imaging","docAbstract":"During Arctic summers, sea ice provides resting habitat for Pacific walruses as it drifts over foraging areas in the eastern Chukchi Sea. Climate-driven reductions in sea ice have recently created ice-free conditions in the Chukchi Sea by late summer causing walruses to rest at coastal haulouts along the Chukotka and Alaska coasts, which provides an opportunity to study walruses at relatively accessible locations. Walrus age can be determined from the ratio of tusk length to snout dimensions. We evaluated use of images obtained from a gyro-stabilized video system mounted on a helicopter flying at high altitudes (to avoid disturbance) to classify the sex and age of walruses hauled out on Alaska beaches in 2010–2011. We were able to classify 95% of randomly selected individuals to either an 8- or 3-category age class, and we found measurement-based age classifications were more repeatable than visual classifications when using images presenting the correct head profile. Herd density at coastal haulouts averaged 0.88 walruses/m2 (std. err. = 0.02), herd size ranged from 8,300 to 19,400 (CV 0.03–0.06) and we documented ~30,000 animals along ~1 km of beach in 2011. Within the herds, dependent walruses (0–2 yr-olds) tended to be located closer to water, and this tendency became more pronounced as the herd spent more time on the beach. Therefore, unbiased estimation of herd age-ratios will require a sampling design that allows for spatial and temporal structuring. In addition, randomly sampling walruses available at the edge of the herd for other purposes (e.g., tagging, biopsying) will not sample walruses with an age structure representative of the herd. Sea ice losses are projected to continue, and population age structure data collected with aerial videography at coastal haulouts may provide demographic information vital to ongoing efforts to understand effects of climate change on this species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0069806","usgsCitation":"Monson, D., Udevitz, M.S., and Jay, C.V., 2013, Estimating age ratios and size of Pacific walrus herds on coastal haulouts using video imaging: PLoS ONE, v. 8, no. 7, https://doi.org/10.1371/journal.pone.0069806.","ipdsId":"IP-045689","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":473631,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0069806","text":"Publisher Index Page"},{"id":277155,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277133,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0069806"}],"country":"United States","volume":"8","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-07-31","publicationStatus":"PW","scienceBaseUri":"52206d61e4b0645fc25e8c2d","contributors":{"authors":[{"text":"Monson, Daniel H. 0000-0002-4593-5673 dmonson@usgs.gov","orcid":"https://orcid.org/0000-0002-4593-5673","contributorId":140480,"corporation":false,"usgs":true,"family":"Monson","given":"Daniel H.","email":"dmonson@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":false,"id":479564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Udevitz, Mark S. 0000-0003-4659-138X mudevitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4659-138X","contributorId":3189,"corporation":false,"usgs":true,"family":"Udevitz","given":"Mark","email":"mudevitz@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":479562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jay, Chadwick V. 0000-0002-9559-2189 cjay@usgs.gov","orcid":"https://orcid.org/0000-0002-9559-2189","contributorId":192736,"corporation":false,"usgs":true,"family":"Jay","given":"Chadwick","email":"cjay@usgs.gov","middleInitial":"V.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":479563,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70047326,"text":"fs20133055 - 2013 - Reproductive health of yellow perch, Perca flavescens, in Chesapeake Bay Tributaries","interactions":[],"lastModifiedDate":"2024-03-04T18:00:14.444595","indexId":"fs20133055","displayToPublicDate":"2013-07-31T15:57:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3055","title":"Reproductive health of yellow perch, Perca flavescens, in Chesapeake Bay Tributaries","docAbstract":"Yellow perch live in creeks, rivers, ponds, lakes, and estuaries across the central and eastern United States and Canada. In Chesapeake Bay, they tolerate salinities up to one-third that of seawater. The adults reside in the brackish waters of the bay’s tributaries and migrate upstream to spawn. Yellow perch are eagerly sought by recreational fishermen for their excellent taste and, because their late winter spawning runs are the earliest of the year, they are regarded as a harbinger of spring. Yellow perch also support a small but valuable, tightly regulated commercial fishery in the part of Chesapeake Bay that lies in Maryland.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133055","usgsCitation":"Blazer, V., Pinkney, A., and Uphoff, J.H., 2013, Reproductive health of yellow perch, Perca flavescens, in Chesapeake Bay Tributaries: U.S. Geological Survey Fact Sheet 2013-3055, 2 p., https://doi.org/10.3133/fs20133055.","productDescription":"2 p.","numberOfPages":"2","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":275652,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133055.jpg"},{"id":275651,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3055/pdf/fs2013-3055.pdf"},{"id":275650,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3055/"}],"country":"United States","state":"Maryl","otherGeospatial":"Chesapeake Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.6224,37.3195 ], [ -77.6224,39.7196 ], [ -74.7564,39.7196 ], [ -74.7564,37.3195 ], [ -77.6224,37.3195 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fa2c80e4b076c3a8d82627","contributors":{"authors":[{"text":"Blazer, Vicki 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":792,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":481713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pinkney, A.E.","contributorId":87501,"corporation":false,"usgs":true,"family":"Pinkney","given":"A.E.","affiliations":[],"preferred":false,"id":481715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Uphoff, James H.","contributorId":74656,"corporation":false,"usgs":true,"family":"Uphoff","given":"James","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":481714,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70047325,"text":"fs20133066 - 2013 - Relationships between the health of Alaska Native communities and our environment -- phase 1, exploring and communicating","interactions":[],"lastModifiedDate":"2013-07-31T15:48:37","indexId":"fs20133066","displayToPublicDate":"2013-07-31T15:43:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3066","title":"Relationships between the health of Alaska Native communities and our environment -- phase 1, exploring and communicating","docAbstract":"Alaska Natives depend on local natural resources for nutritional and, for many, spiritual health. As a result, public health in Alaska is strongly influenced by the relationship between people and their surrounding physical, chemical, and biological environments. Alaska is vast with diverse wildlife and plant communities that are valued as subsistence foods (fig. 1). These resources are supported by equally diverse ecosystems and their underpinning landforms and geologies. The U.S. Geological Survey (USGS) is attempting to integrate physical, chemical, and biological information to better describe current (2013) environments and project scenarios for the future. Integrating ecological data into the public health dialogue is challenging for the more than 280 rural communities of Alaska. This fact sheet reviews a recent USGS effort, the Geographic Information System (GIS) Native Health Project, to better incorporate scientific information into such dialogue.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133066","usgsCitation":"Smith, D., 2013, Relationships between the health of Alaska Native communities and our environment -- phase 1, exploring and communicating: U.S. Geological Survey Fact Sheet 2013-3066, 4 p., https://doi.org/10.3133/fs20133066.","productDescription":"4 p.","numberOfPages":"4","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":275646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133066.bmp"},{"id":275645,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3066/"},{"id":275644,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3066/pdf/fs20133066.pdf"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.45,51.21 ], [ 172.45,71.39 ], [ -129.99,71.39 ], [ -129.99,51.21 ], [ 172.45,51.21 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fa2c80e4b076c3a8d82623","contributors":{"authors":[{"text":"Smith, Durelle","contributorId":24258,"corporation":false,"usgs":true,"family":"Smith","given":"Durelle","email":"","affiliations":[],"preferred":false,"id":481712,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70047254,"text":"ofr20131178 - 2013 - Significance of headwater streams and perennial springs in ecological monitoring in Shenandoah National Park","interactions":[],"lastModifiedDate":"2013-07-31T15:50:02","indexId":"ofr20131178","displayToPublicDate":"2013-07-31T15:43:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1178","title":"Significance of headwater streams and perennial springs in ecological monitoring in Shenandoah National Park","docAbstract":"Shenandoah National Park has been monitoring water chemistry and benthic macroinvertebrates in stream ecosystems since 1979. These monitoring efforts were designed to assess the status and trends in stream condition associated with atmospheric deposition (acid rain) and changes in forest health due to gypsy moth infestations. The primary objective of the present research was to determine whether the current long-term macroinvertebrate and water-quality monitoring program in Shenandoah National Park was failing to capture important information on the status and trends in stream condition by not sufficiently representing smaller, headwater streams. The current benthic-macroinvertebrate and water-chemistry sampling designs do not include routine collection of data from streams with contributing watershed areas smaller than 100 hectares, even though these small streams represent the overwhelming proportion of total stream length in the park. In this study, we sampled headwater sites, including headwater stream reaches (contributing watershed area approximately 100 hectares (ha) and perennial springs, in the park for aquatic macroinvertebrates and water chemistry and compared the results with current and historical data collected at long-term ecological monitoring (LTEM) sites on larger streams routinely sampled as part of ongoing monitoring efforts. The larger purpose of the study was to inform ongoing efforts by park managers to evaluate the effectiveness and efficiency of the current aquatic monitoring program in light of other potential stressors (for example, climate change) and limited resources. Our results revealed several important findings that could influence management decisions regarding long-term monitoring of park streams. First, we found that biological indicators of stream condition at headwater sites and perennial springs generally were more indicative of lower habitat quality and were more spatially variable than those observed at sites on routinely monitored larger streams. We hypothesized that poorer stream condition observed in smaller streams was due to stream drying that occurs more frequently in headwater areas. We also found that biological and water-chemistry measures responded differently to landscape drivers. Variation in most biological endpoints was driven primarily by stream size and was only secondarily associated with bedrock geology. In contrast, water chemistry showed essentially the opposite pattern, with underlying geology explaining much of the variation and stream size being of secondary importance. Therefore, expanding the LTEM program to include headwater areas would yield substantially different biological information, whereas broad inferences regarding spatial patterns in water chemistry would probably not change. Although significant differences in community composition were observed among streams of different sizes, no taxa were unique to headwater sites. All taxa collected at the 45 headwater sites also had been collected at one or more LTEM sites during one or more years. This observation indicates that headwater sites in the park may be structured by biotic nestedness; consequently, focusing management efforts on preserving the species pool at the larger LTEM sites would likely result in the protection of most taxa parkwide. Finally, linkages (correlations) between water chemistry and biological measures of stream condition were signficantly stronger when assessed at the LTEM sites than when assessed at the springs or headwater sites, indicating that conditions at downstream sites may be better indicators of water-quality trends.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131178","collaboration":"Prepared in Cooperation with the National Park Service","usgsCitation":"Snyder, C.D., Webb, J., Young, J.A., and Johnson, Z.B., 2013, Significance of headwater streams and perennial springs in ecological monitoring in Shenandoah National Park: U.S. Geological Survey Open-File Report 2013-1178, v, 46 p., https://doi.org/10.3133/ofr20131178.","productDescription":"v, 46 p.","numberOfPages":"51","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-049033","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":275649,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131178.gif"},{"id":275648,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1178/pdf/ofr2013-1178.pdf"},{"id":275647,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1178/"}],"country":"United States","state":"Virginia","otherGeospatial":"Shenandoah National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79,8.333333333333334E-4 ], [ -79,8.333333333333334E-4 ], [ -78,8.333333333333334E-4 ], [ -78,8.333333333333334E-4 ], [ -79,8.333333333333334E-4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fa2c80e4b076c3a8d8262f","contributors":{"authors":[{"text":"Snyder, Craig D. 0000-0002-3448-597X csnyder@usgs.gov","orcid":"https://orcid.org/0000-0002-3448-597X","contributorId":2568,"corporation":false,"usgs":true,"family":"Snyder","given":"Craig","email":"csnyder@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":481529,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, James R.","contributorId":74431,"corporation":false,"usgs":true,"family":"Webb","given":"James R.","affiliations":[],"preferred":false,"id":481532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":481530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Zane B.","contributorId":21441,"corporation":false,"usgs":true,"family":"Johnson","given":"Zane","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":481531,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70199861,"text":"70199861 - 2013 - Fine-scale hydrologic modeling for regional landscape applications: the California Basin Characterization Model development and performance","interactions":[],"lastModifiedDate":"2018-10-01T15:22:10","indexId":"70199861","displayToPublicDate":"2013-07-31T15:22:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1460,"text":"Ecological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Fine-scale hydrologic modeling for regional landscape applications: the California Basin Characterization Model development and performance","docAbstract":"

Introduction

Resource managers need spatially explicit models of hydrologic response to changes in key climatic drivers across variable landscape conditions. We demonstrate the utility of a Basin Characterization Model for California (CA-BCM) to integrate high-resolution data on physical watershed characteristics with historical or projected climate data to predict watershed-specific hydrologic responses.

Methods

The CA-BCM applies a monthly regional water-balance model to simulate hydrologic responses to climate at the spatial resolution of a 270-m grid. The model has been calibrated using a total of 159 relatively unimpaired watersheds for the California region.

Results

As a result of calibration, predicted basin discharge closely matches measured data for validation watersheds. The CA-BCM recharge and runoff estimates, combined with estimates of snowpack and timing of snowmelt, provide a basis for assessing variations in water availability. Another important output variable, climatic water deficit, integrates the combined effects of temperature and rainfall on site-specific soil moisture, a factor that plants may respond to more directly than air temperature and precipitation alone. Model outputs are calculated for each grid cell, allowing results to be summarized for a variety of planning units including hillslopes, watersheds, ecoregions, or political boundaries.

Conclusions

The ability to confidently calculate hydrologic outputs at fine spatial scales provides a new suite of hydrologic predictor variables that can be used for a variety of purposes, such as projections of changes in water availability, environmental demand, or distribution of plants and habitats. Here we present the framework of the CA-BCM model for the California hydrologic region, a test of model performance on 159 watersheds, summary results for the region for the 1981–2010 time period, and changes since the 1951–1980 time period.

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Florida","interactions":[],"lastModifiedDate":"2022-03-22T13:14:01.550005","indexId":"70047316","displayToPublicDate":"2013-07-31T13:02:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Possible return of Acropora cervicornis at Pulaski Shoal, Dry Tortugas National Park, Florida","title":"Possible return of Acropora cervicornis at Pulaski Shoal, Dry Tortugas National Park, Florida","docAbstract":"

Seabed classification is essential to assessing environmental associations and physical status in coral reef ecosystems. At Pulaski Shoal in Dry Tortugas National Park, Florida, nearly continuous underwater-image coverage was acquired in 15.5 hours in 2009 along 70.2 km of transect lines spanning ~0.2 km2. The Along-Track Reef-Imaging System (ATRIS), a boat-based, high-speed, digital imaging system, was used. ATRIS-derived benthic classes were merged with a QuickBird satellite image to create a habitat map that defines areas of senile coral reef, carbonate sand, seagrasses, and coral rubble. This atypical approach of starting with extensive, high-resolution in situ imagery and extrapolating between transect lines using satellite imagery leverages the strengths of each remote-sensing modality. The ATRIS images also captured the spatial distribution of two species once common on now-degraded Florida-Caribbean coral reefs: the stony staghorn coral Acropora cervicornis, a designated threatened species, and the long-spined urchin Diadema antillarum. This article documents the utility of ATRIS imagery for quantifying number and estimating age of A. cervicornis colonies (n = 400, age range, 5–11 y) since the severe hypothermic die-off in the Dry Tortugas in 1976–77. This study is also the first to document the largest number of new colonies of A. cervicornis tabulated in an area of the park where coral-monitoring stations maintained by the Fish and Wildlife Research Institute have not been established. The elevated numbers provide an updated baseline for tracking revival of this species at Pulaski Shoal.

","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/JCOASTRES-D-12-00078.1","usgsCitation":"Lidz, B.H., and Zawada, D., 2013, Possible return of Acropora cervicornis at Pulaski Shoal, Dry Tortugas National Park, Florida: Journal of Coastal Research, v. 29, no. 2, p. 256-271, https://doi.org/10.2112/JCOASTRES-D-12-00078.1.","productDescription":"16 p.; 2 Data Releases","startPage":"256","endPage":"271","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035169","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":275629,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":337126,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://coastal.er.usgs.gov/data-release/doi-F77942T0/","text":"Distribution of Benthic Habitats at Crocker Reef, Florida, 2014"},{"id":337227,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7SF2T9Z","text":"ATRIS Seafloor Images – Crocker Reef, Florida, 2014"}],"country":"United States","state":"Florida","otherGeospatial":"Dry Tortugas National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.97252655029295,\n 24.58459276519208\n ],\n [\n -82.76790618896484,\n 24.58459276519208\n ],\n [\n -82.76790618896484,\n 24.726251180537773\n ],\n [\n -82.97252655029295,\n 24.726251180537773\n ],\n [\n -82.97252655029295,\n 24.58459276519208\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fa2c7fe4b076c3a8d8261f","contributors":{"authors":[{"text":"Lidz, Barbara H. blidz@usgs.gov","contributorId":2475,"corporation":false,"usgs":true,"family":"Lidz","given":"Barbara","email":"blidz@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":481704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zawada, David G. 0000-0003-4547-4878 dzawada@usgs.gov","orcid":"https://orcid.org/0000-0003-4547-4878","contributorId":1898,"corporation":false,"usgs":true,"family":"Zawada","given":"David G.","email":"dzawada@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":481703,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70044587,"text":"70044587 - 2013 - Self-reporting bias in Chinook salmon sport fisheries in Idaho: implications for roving creel surveys","interactions":[],"lastModifiedDate":"2013-07-31T11:08:25","indexId":"70044587","displayToPublicDate":"2013-07-31T11:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Self-reporting bias in Chinook salmon sport fisheries in Idaho: implications for roving creel surveys","docAbstract":"Self-reporting bias in sport fisheries of Chinook Salmon Oncorhynchus tshawytscha in Idaho was quantified by comparing observed and angler-reported data. A total of 164 observed anglers fished for 541 h and caught 74 Chinook Salmon. Fifty-eight fish were harvested and 16 were released. Anglers reported fishing for 604 h, an overestimate of 63 h. Anglers reported catching 66 fish; four less harvested and four less released fish were reported than observed. A Monte Carlo simulation revealed that when angler-reported data were used, total catch was underestimated by 14–15 fish (19–20%) using the ratio-of-means estimator to calculate mean catch rate. Negative bias was reduced to six fish (8%) when the means-of-ratio estimator was used. Multiple linear regression models to predict reporting bias in time fished had poor predictive value. However, actual time fished and a categorical covariate indicating whether the angler fished continuously during their fishing trip were two variables that were present in all of the top a priori models evaluated. Underreporting of catch and overreporting of time fished by anglers present challenges when managing Chinook Salmon sport fisheries. However, confidence intervals were near target levels and using more liberal definitions of angling when estimating effort in creel surveys may decrease sensitivity to bias in angler-reported data.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2013.808293","usgsCitation":"McCormick, J.L., Quist, M.C., and Schill, D.J., 2013, Self-reporting bias in Chinook salmon sport fisheries in Idaho: implications for roving creel surveys: North American Journal of Fisheries Management, v. 33, no. 4, p. 723-731, https://doi.org/10.1080/02755947.2013.808293.","productDescription":"9 p.","startPage":"723","endPage":"731","ipdsId":"IP-042902","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":275623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275622,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2013.808293"}],"country":"United States","volume":"33","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-07-15","publicationStatus":"PW","scienceBaseUri":"51fa2c80e4b076c3a8d8262b","contributors":{"authors":[{"text":"McCormick, Joshua L.","contributorId":105193,"corporation":false,"usgs":true,"family":"McCormick","given":"Joshua","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":475918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. mquist@usgs.gov","contributorId":4042,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":350,"text":"Iowa Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":475916,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schill, Daniel J.","contributorId":66562,"corporation":false,"usgs":true,"family":"Schill","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":475917,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}